409 search results - page 22 / 82 » Predicting Nucleolar Proteins Using Support-Vector Machines |
BMCBI
2007
13 years 7 months ago
2007
Background: Sequence-derived structural and physicochemical descriptors have frequently been used in machine learning prediction of protein functional families, thus there is a ne...
BMCBI
2006
2006
Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy
13 years 7 months ago
Background: Understanding how amino acid substitutions affect protein functions is critical for the study of proteins and their implications in diseases. Although methods have bee...
DMKD
2003
ACM
14 years 20 days ago
2003
ACM
Given a known protein sequence, predicting its secondary structure can help understand its three-dimensional (tertiary) structure, i.e., the folding. In this paper, we present an ...
AI
2005
Springer
13 years 7 months ago
2005
Springer
Abstract. The protein family classification problem, which consists of determining the family memberships of given unknown protein sequences, is very important for a biologist for ...
BMCBI
2004
13 years 7 months ago
2004
Background: Subcellular localization of a new protein sequence is very important and fruitful for understanding its function. As the number of new genomes has dramatically increas...